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本程序为小波在矩阵方程求解中的应用例程。(This procedure for the wavelet in the matrix equation in the application of routine)

说明：  基本的直方图绘制方法： （1）直方图的绘制； （2）直方图均衡化(The basic method of drawing histogram: (1) Draw the histogram (2) Histogram equalization)

主要是支持向量机代码，可以很好的实现分类，是非常有用的代码。(Mainly support vector machine code, can achieve good classification, is a very useful code.)

OSL0稀疏重构算法 SL0的优化版 输入: y:测量值向量 A:测量矩阵 A_pinv:A的广义逆 输出: xr:重构信号 实现信号的压缩重构(OSL0 u7A00 u758F u91CD u6784 u7B97 u6CD5 SL0 u7684 u4F18 u5316 u7248 u8F93 u5165: y: u6D4B u91CF u503C u5411 u91CF A: u6D4B u91CF u77E9 u9635 A_pinv: A u7684 u5E7F u4E49 u9006 u8F93 u51FA: xr: u91CD u6784 u4FE1 u53F7 u5B9E u73B0 u4FE1 u53F7 u7684 u538B u7F29 u91CD u6784)

有循环检测，周期性检测，时间序列数据分析中的梅林变换工具，最大信噪比的独立分量分析算法。( There are cycle detection, periodic testing, Time series data analysis Mellin transform tool, SNR largest independent component analysis algorithm.)

POS算法，MATLAB的粒子群优化算法程序设计.(POS algorithm, MATLAB Particle Swarm Optimization programming.)

4) 创建一个名为Complex的类，进行复数的算术运算。复数的形式为： realpart+imaginarypart*i 用浮点变量表示类的private数据。提供构造函数，能够对所声明的该类对象进行初始化。在不提供初始化值的情况下，该构造函数应包含默认值。针对以下功能，分别提供一个public成员函数。 （1）两个复数相加； （2）两个复数相减 （3）用（a, b）的形式打印复数，其中a为实部，b为虚部。 (4) Create a class called Complex, and perform complex arithmetic operations. Plural form: realpart+imaginarypart* i said private data class with floating point variables. Provide a constructor, the object can be declared for the class is initialized. In the case do not provide initialization values, the constructor should contain default values. For the following functions, which provide a public member function. (A) two complex numbers (2) the subtraction of two complex (3) (a, b) in the form of plural printing, where a is the real part, b is the imaginary part.)

针对均匀线形阵列的阵列波束综合，并把波束综合问题描述成一个凸优化问题。 (For array pattern synthesis problem, and describe it as a convex optimization problem.)

说明：  文件为MATLAB低通滤波器文件，运行文件课得滤波器特性曲线，并且还有实例。(MATLAB files for the low-pass filter documents, running a filter file class characteristic curve, and there are examples.)

ELMAN神经网络的数据预测——电力负荷预测模型研究(ELMAN neural network data forecast model of electric power load forecasting)